Overview

Dataset statistics

Number of variables20
Number of observations208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory160.6 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:53:02.838381
Analysis finished2020-08-25 01:53:51.245399
Duration48.41 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Variables

A1
Real number (ℝ≥0)

Distinct count177
Unique (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02916394230769231
Minimum0.0015
Maximum0.1371
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:51.290993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0015
5-th percentile0.007135
Q10.01335
median0.0228
Q30.03555
95-th percentile0.07275
Maximum0.1371
Range0.1356
Interquartile range (IQR)0.0222

Descriptive statistics

Standard deviation0.02299091393
Coefficient of variation (CV)0.7883335419
Kurtosis5.590145422
Mean0.02916394231
Median Absolute Deviation (MAD)0.01025
Skewness2.131088404
Sum6.0661
Variance0.0005285821235
2020-08-25T01:53:51.400084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.020152.4%
 
0.009431.4%
 
0.0131.4%
 
0.020931.4%
 
0.013131.4%
 
0.021721.0%
 
0.023121.0%
 
0.02721.0%
 
0.016421.0%
 
0.023521.0%
 
0.036821.0%
 
0.012321.0%
 
0.02621.0%
 
0.012621.0%
 
0.019521.0%
 
0.016221.0%
 
0.01321.0%
 
0.011621.0%
 
0.009321.0%
 
0.021121.0%
 
0.033521.0%
 
0.022821.0%
 
0.021621.0%
 
0.029321.0%
 
0.006810.5%
 
Other values (152)15273.1%
 
ValueCountFrequency (%) 
0.001510.5%
 
0.002510.5%
 
0.003610.5%
 
0.003910.5%
 
0.004710.5%
 
0.00510.5%
 
0.005610.5%
 
0.006510.5%
 
0.006710.5%
 
0.006810.5%
 
ValueCountFrequency (%) 
0.137110.5%
 
0.131310.5%
 
0.11510.5%
 
0.108810.5%
 
0.108310.5%
 
0.102110.5%
 
0.096810.5%
 
0.085610.5%
 
0.07910.5%
 
0.076210.5%
 

A6
Real number (ℝ≥0)

Distinct count196
Unique (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1045701923076923
Minimum0.0102
Maximum0.3823
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:51.520622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0102
5-th percentile0.02614
Q10.067025
median0.09215
Q30.134125
95-th percentile0.21966
Maximum0.3823
Range0.3721
Interquartile range (IQR)0.0671

Descriptive statistics

Standard deviation0.05910543822
Coefficient of variation (CV)0.5652226214
Kurtosis2.572758691
Mean0.1045701923
Median Absolute Deviation (MAD)0.03325
Skewness1.248165746
Sum21.7506
Variance0.003493452827
2020-08-25T01:53:51.631947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.06921.0%
 
0.052621.0%
 
0.101921.0%
 
0.043821.0%
 
0.151521.0%
 
0.076621.0%
 
0.077121.0%
 
0.028421.0%
 
0.126721.0%
 
0.062921.0%
 
0.097321.0%
 
0.088721.0%
 
0.066510.5%
 
0.034910.5%
 
0.180110.5%
 
0.081610.5%
 
0.17510.5%
 
0.110310.5%
 
0.067110.5%
 
0.173110.5%
 
0.145210.5%
 
0.092410.5%
 
0.181710.5%
 
0.051310.5%
 
0.22810.5%
 
Other values (171)17182.2%
 
ValueCountFrequency (%) 
0.010210.5%
 
0.011610.5%
 
0.013610.5%
 
0.015110.5%
 
0.0210.5%
 
0.020110.5%
 
0.020810.5%
 
0.022610.5%
 
0.024910.5%
 
0.025210.5%
 
ValueCountFrequency (%) 
0.382310.5%
 
0.30710.5%
 
0.27710.5%
 
0.261110.5%
 
0.258710.5%
 
0.258310.5%
 
0.255910.5%
 
0.243110.5%
 
0.229410.5%
 
0.22810.5%
 

A37
Real number (ℝ≥0)

Distinct count206
Unique (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3638067307692308
Minimum0.0351
Maximum0.9497
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:51.754021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0351
5-th percentile0.072115
Q10.1601
median0.3063
Q30.5189
95-th percentile0.82808
Maximum0.9497
Range0.9146
Interquartile range (IQR)0.3588

Descriptive statistics

Standard deviation0.2399123984
Coefficient of variation (CV)0.6594501368
Kurtosis-0.5532391773
Mean0.3638067308
Median Absolute Deviation (MAD)0.1679
Skewness0.6769940604
Sum75.6718
Variance0.05755795889
2020-08-25T01:53:51.852021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.107321.0%
 
0.625321.0%
 
0.166610.5%
 
0.295910.5%
 
0.204310.5%
 
0.070210.5%
 
0.949710.5%
 
0.385810.5%
 
0.611610.5%
 
0.15710.5%
 
0.22510.5%
 
0.885210.5%
 
0.260710.5%
 
0.705610.5%
 
0.168110.5%
 
0.84210.5%
 
0.532410.5%
 
0.777510.5%
 
0.394710.5%
 
0.598310.5%
 
0.451610.5%
 
0.423410.5%
 
0.550110.5%
 
0.571510.5%
 
0.480110.5%
 
Other values (181)18187.0%
 
ValueCountFrequency (%) 
0.035110.5%
 
0.037910.5%
 
0.042910.5%
 
0.047610.5%
 
0.052110.5%
 
0.053510.5%
 
0.05810.5%
 
0.058910.5%
 
0.069310.5%
 
0.070210.5%
 
ValueCountFrequency (%) 
0.949710.5%
 
0.941910.5%
 
0.938610.5%
 
0.912310.5%
 
0.891210.5%
 
0.885210.5%
 
0.8810.5%
 
0.871210.5%
 
0.845910.5%
 
0.84210.5%
 

A46
Real number (ℝ≥0)

Distinct count199
Unique (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16063124999999998
Minimum0.0
Maximum0.7292
Zeros1
Zeros (%)0.5%
Memory size1.8 KiB
2020-08-25T01:53:51.956739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.023505
Q10.06855
median0.12135
Q30.200375
95-th percentile0.44888
Maximum0.7292
Range0.7292
Interquartile range (IQR)0.131825

Descriptive statistics

Standard deviation0.1339379175
Coefficient of variation (CV)0.8338222946
Kurtosis3.065555049
Mean0.16063125
Median Absolute Deviation (MAD)0.0633
Skewness1.70667412
Sum33.4113
Variance0.01793936573
2020-08-25T01:53:52.071758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.096521.0%
 
0.047321.0%
 
0.077921.0%
 
0.143321.0%
 
0.013821.0%
 
0.121621.0%
 
0.050521.0%
 
0.030721.0%
 
0.066321.0%
 
0.09210.5%
 
0.191710.5%
 
0.048710.5%
 
0.183310.5%
 
0.078510.5%
 
0.055310.5%
 
0.029710.5%
 
0.213410.5%
 
0.052810.5%
 
0.198510.5%
 
0.138610.5%
 
0.051610.5%
 
0.097810.5%
 
0.243810.5%
 
0.052710.5%
 
0.219310.5%
 
Other values (174)17483.7%
 
ValueCountFrequency (%) 
010.5%
 
0.002510.5%
 
0.00810.5%
 
0.012910.5%
 
0.013821.0%
 
0.017610.5%
 
0.018710.5%
 
0.020310.5%
 
0.02110.5%
 
0.021310.5%
 
ValueCountFrequency (%) 
0.729210.5%
 
0.621410.5%
 
0.590410.5%
 
0.577710.5%
 
0.569210.5%
 
0.564910.5%
 
0.550710.5%
 
0.529310.5%
 
0.512310.5%
 
0.480310.5%
 

A14
Real number (ℝ≥0)

Distinct count202
Unique (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29656826923076923
Minimum0.0273
Maximum0.997
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:52.190077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0273
5-th percentile0.089735
Q10.175175
median0.2811
Q30.386175
95-th percentile0.57577
Maximum0.997
Range0.9697
Interquartile range (IQR)0.211

Descriptive statistics

Standard deviation0.1644744097
Coefficient of variation (CV)0.5545920679
Kurtosis1.576800032
Mean0.2965682692
Median Absolute Deviation (MAD)0.10625
Skewness1.022369169
Sum61.6862
Variance0.02705183145
2020-08-25T01:53:52.286759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.308721.0%
 
0.309921.0%
 
0.261421.0%
 
0.311521.0%
 
0.290421.0%
 
0.280321.0%
 
0.154210.5%
 
0.330810.5%
 
0.257910.5%
 
0.254710.5%
 
0.99710.5%
 
0.434310.5%
 
0.189110.5%
 
0.375810.5%
 
0.187110.5%
 
0.102310.5%
 
0.412710.5%
 
0.216410.5%
 
0.119410.5%
 
0.282910.5%
 
0.201910.5%
 
0.779710.5%
 
0.349510.5%
 
0.385410.5%
 
0.35710.5%
 
Other values (177)17785.1%
 
ValueCountFrequency (%) 
0.027310.5%
 
0.033610.5%
 
0.04210.5%
 
0.059310.5%
 
0.064510.5%
 
0.070810.5%
 
0.071210.5%
 
0.081410.5%
 
0.084810.5%
 
0.085310.5%
 
ValueCountFrequency (%) 
0.99710.5%
 
0.819810.5%
 
0.784210.5%
 
0.779710.5%
 
0.706710.5%
 
0.700310.5%
 
0.691610.5%
 
0.685510.5%
 
0.59510.5%
 
0.582110.5%
 

A55
Real number (ℝ≥0)

Distinct count129
Unique (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009290384615384615
Minimum0.0006
Maximum0.0447
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:52.399118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0006
5-th percentile0.0016
Q10.00415
median0.0075
Q30.0121
95-th percentile0.021095
Maximum0.0447
Range0.0441
Interquartile range (IQR)0.00795

Descriptive statistics

Standard deviation0.00708762982
Coefficient of variation (CV)0.7628995046
Kurtosis4.531085201
Mean0.009290384615
Median Absolute Deviation (MAD)0.0037
Skewness1.789945859
Sum1.9324
Variance5.023449647e-05
2020-08-25T01:53:52.497081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.003652.4%
 
0.007552.4%
 
0.004341.9%
 
0.003941.9%
 
0.006241.9%
 
0.003841.9%
 
0.007941.9%
 
0.007231.4%
 
0.016431.4%
 
0.001331.4%
 
0.001231.4%
 
0.011431.4%
 
0.005831.4%
 
0.003731.4%
 
0.00331.4%
 
0.006531.4%
 
0.004531.4%
 
0.006831.4%
 
0.012131.4%
 
0.01221.0%
 
0.012721.0%
 
0.002721.0%
 
0.008321.0%
 
0.008621.0%
 
0.011221.0%
 
Other values (104)13062.5%
 
ValueCountFrequency (%) 
0.000610.5%
 
0.001110.5%
 
0.001231.4%
 
0.001331.4%
 
0.001410.5%
 
0.001510.5%
 
0.001621.0%
 
0.001810.5%
 
0.001910.5%
 
0.002110.5%
 
ValueCountFrequency (%) 
0.044710.5%
 
0.037610.5%
 
0.037210.5%
 
0.02910.5%
 
0.028110.5%
 
0.027710.5%
 
0.027610.5%
 
0.02710.5%
 
0.025210.5%
 
0.023310.5%
 

A34
Real number (ℝ≥0)

Distinct count206
Unique (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4032331730769231
Minimum0.0212
Maximum0.9647
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:52.603396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0212
5-th percentile0.096835
Q10.217575
median0.35105
Q30.596125
95-th percentile0.870625
Maximum0.9647
Range0.9435
Interquartile range (IQR)0.37855

Descriptive statistics

Standard deviation0.2312415616
Coefficient of variation (CV)0.5734685959
Kurtosis-0.5582059091
Mean0.4032331731
Median Absolute Deviation (MAD)0.16275
Skewness0.5632955278
Sum83.8725
Variance0.05347265981
2020-08-25T01:53:52.708647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.219621.0%
 
0.196921.0%
 
0.165310.5%
 
0.49510.5%
 
0.152910.5%
 
0.222710.5%
 
0.140310.5%
 
0.248410.5%
 
0.284710.5%
 
0.095510.5%
 
0.623410.5%
 
0.697310.5%
 
0.615210.5%
 
0.426810.5%
 
0.377610.5%
 
0.112410.5%
 
0.870310.5%
 
0.332510.5%
 
0.195610.5%
 
0.662710.5%
 
0.394710.5%
 
0.264110.5%
 
0.158810.5%
 
0.290810.5%
 
0.41210.5%
 
Other values (181)18187.0%
 
ValueCountFrequency (%) 
0.021210.5%
 
0.030610.5%
 
0.040110.5%
 
0.043110.5%
 
0.058810.5%
 
0.068810.5%
 
0.076510.5%
 
0.079810.5%
 
0.092710.5%
 
0.095510.5%
 
ValueCountFrequency (%) 
0.964710.5%
 
0.953610.5%
 
0.943510.5%
 
0.903910.5%
 
0.889710.5%
 
0.888910.5%
 
0.877310.5%
 
0.874710.5%
 
0.874110.5%
 
0.872610.5%
 

A49
Real number (ℝ≥0)

Distinct count193
Unique (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05192884615384615
Minimum0.0
Maximum0.1981
Zeros1
Zeros (%)0.5%
Memory size1.8 KiB
2020-08-25T01:53:53.006837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01067
Q10.02635
median0.0447
Q30.068525
95-th percentile0.1245
Maximum0.1981
Range0.1981
Interquartile range (IQR)0.042175

Descriptive statistics

Standard deviation0.03595396996
Coefficient of variation (CV)0.6923698989
Kurtosis1.782252468
Mean0.05192884615
Median Absolute Deviation (MAD)0.0204
Skewness1.273384691
Sum10.8012
Variance0.001292687956
2020-08-25T01:53:53.117627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.010831.4%
 
0.032531.4%
 
0.010221.0%
 
0.066521.0%
 
0.043621.0%
 
0.031721.0%
 
0.077721.0%
 
0.033621.0%
 
0.054621.0%
 
0.035521.0%
 
0.04921.0%
 
0.108521.0%
 
0.106921.0%
 
0.034410.5%
 
0.058910.5%
 
0.085810.5%
 
0.045510.5%
 
0.03710.5%
 
0.042310.5%
 
0.03810.5%
 
0.142710.5%
 
0.022110.5%
 
0.092210.5%
 
0.038310.5%
 
0.076910.5%
 
Other values (168)16880.8%
 
ValueCountFrequency (%) 
010.5%
 
0.002110.5%
 
0.007310.5%
 
0.008510.5%
 
0.009210.5%
 
0.009310.5%
 
0.009810.5%
 
0.010110.5%
 
0.010221.0%
 
0.010610.5%
 
ValueCountFrequency (%) 
0.198110.5%
 
0.179410.5%
 
0.160810.5%
 
0.158410.5%
 
0.147410.5%
 
0.142710.5%
 
0.136610.5%
 
0.132610.5%
 
0.129910.5%
 
0.127110.5%
 

A13
Real number (ℝ≥0)

Distinct count198
Unique (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27330528846153845
Minimum0.0184
Maximum0.7131
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:53.243010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0184
5-th percentile0.07583
Q10.166125
median0.26395
Q30.35125
95-th percentile0.54941
Maximum0.7131
Range0.6947
Interquartile range (IQR)0.185125

Descriptive statistics

Standard deviation0.1409620973
Coefficient of variation (CV)0.5157679095
Kurtosis0.4001258219
Mean0.2733052885
Median Absolute Deviation (MAD)0.096
Skewness0.736584295
Sum56.8475
Variance0.01987031287
2020-08-25T01:53:53.341568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.265731.4%
 
0.119221.0%
 
0.314121.0%
 
0.286321.0%
 
0.262421.0%
 
0.230121.0%
 
0.099721.0%
 
0.224921.0%
 
0.301121.0%
 
0.310.5%
 
0.240210.5%
 
0.279610.5%
 
0.22510.5%
 
0.554410.5%
 
0.125410.5%
 
0.126610.5%
 
0.567710.5%
 
0.154210.5%
 
0.238110.5%
 
0.197510.5%
 
0.550610.5%
 
0.324910.5%
 
0.146410.5%
 
0.300410.5%
 
0.16510.5%
 
Other values (173)17383.2%
 
ValueCountFrequency (%) 
0.018410.5%
 
0.025210.5%
 
0.030910.5%
 
0.049310.5%
 
0.051310.5%
 
0.061610.5%
 
0.061810.5%
 
0.062810.5%
 
0.064410.5%
 
0.065610.5%
 
ValueCountFrequency (%) 
0.713110.5%
 
0.702210.5%
 
0.691910.5%
 
0.634310.5%
 
0.617310.5%
 
0.595910.5%
 
0.567710.5%
 
0.558210.5%
 
0.555410.5%
 
0.554410.5%
 

A58
Real number (ℝ≥0)

Distinct count124
Unique (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007949038461538462
Minimum0.0003
Maximum0.044000000000000004
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:53.453712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0003
5-th percentile0.001535
Q10.0036
median0.0058
Q30.01035
95-th percentile0.019795
Maximum0.044
Range0.0437
Interquartile range (IQR)0.00675

Descriptive statistics

Standard deviation0.006469840775
Coefficient of variation (CV)0.8139148912
Kurtosis6.762729221
Mean0.007949038462
Median Absolute Deviation (MAD)0.00325
Skewness2.098329681
Sum1.6534
Variance4.185883965e-05
2020-08-25T01:53:53.555574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.003662.9%
 
0.002452.4%
 
0.004441.9%
 
0.004941.9%
 
0.002241.9%
 
0.009441.9%
 
0.00541.9%
 
0.003541.9%
 
0.001941.9%
 
0.005731.4%
 
0.006831.4%
 
0.004531.4%
 
0.010131.4%
 
0.005631.4%
 
0.004231.4%
 
0.005431.4%
 
0.012231.4%
 
0.002721.0%
 
0.005221.0%
 
0.006221.0%
 
0.010221.0%
 
0.008421.0%
 
0.009321.0%
 
0.010521.0%
 
0.008121.0%
 
Other values (99)12962.0%
 
ValueCountFrequency (%) 
0.000310.5%
 
0.000610.5%
 
0.000810.5%
 
0.000921.0%
 
0.00110.5%
 
0.001110.5%
 
0.001321.0%
 
0.001521.0%
 
0.001610.5%
 
0.001721.0%
 
ValueCountFrequency (%) 
0.04410.5%
 
0.037710.5%
 
0.032110.5%
 
0.028810.5%
 
0.024410.5%
 
0.022510.5%
 
0.022410.5%
 
0.021410.5%
 
0.020510.5%
 
0.020110.5%
 

A47
Real number (ℝ≥0)

Distinct count202
Unique (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1224528846153846
Minimum0.0
Maximum0.5522
Zeros1
Zeros (%)0.5%
Memory size1.8 KiB
2020-08-25T01:53:53.666106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.032375
Q10.06425
median0.10165
Q30.154425
95-th percentile0.311355
Maximum0.5522
Range0.5522
Interquartile range (IQR)0.090175

Descriptive statistics

Standard deviation0.08695272685
Coefficient of variation (CV)0.7100912904
Kurtosis4.216863463
Mean0.1224528846
Median Absolute Deviation (MAD)0.04165
Skewness1.790154794
Sum25.4702
Variance0.007560776707
2020-08-25T01:53:53.774011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.05321.0%
 
0.07921.0%
 
0.134421.0%
 
0.080521.0%
 
0.079721.0%
 
0.042621.0%
 
0.088210.5%
 
0.199110.5%
 
0.084910.5%
 
0.062410.5%
 
0.112510.5%
 
0.158710.5%
 
0.265510.5%
 
0.134810.5%
 
0.224110.5%
 
0.198510.5%
 
0.252610.5%
 
0.056210.5%
 
0.168910.5%
 
0.093110.5%
 
0.043910.5%
 
0.328710.5%
 
0.018310.5%
 
0.219310.5%
 
0.273910.5%
 
Other values (177)17785.1%
 
ValueCountFrequency (%) 
010.5%
 
0.007310.5%
 
0.017910.5%
 
0.018310.5%
 
0.020510.5%
 
0.023710.5%
 
0.024110.5%
 
0.024710.5%
 
0.026410.5%
 
0.031910.5%
 
ValueCountFrequency (%) 
0.552210.5%
 
0.433110.5%
 
0.431510.5%
 
0.406910.5%
 
0.387710.5%
 
0.351110.5%
 
0.338510.5%
 
0.328710.5%
 
0.324110.5%
 
0.319510.5%
 

A51
Real number (ℝ≥0)

Distinct count160
Unique (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01606875
Minimum0.0
Maximum0.1004
Zeros1
Zeros (%)0.5%
Memory size1.8 KiB
2020-08-25T01:53:53.890214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002635
Q10.008425
median0.0139
Q30.020825
95-th percentile0.03556
Maximum0.1004
Range0.1004
Interquartile range (IQR)0.0124

Descriptive statistics

Standard deviation0.01200849677
Coefficient of variation (CV)0.7473199076
Kurtosis14.320998
Mean0.01606875
Median Absolute Deviation (MAD)0.0063
Skewness2.716059607
Sum3.3423
Variance0.0001442039946
2020-08-25T01:53:54.002127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.015441.9%
 
0.012541.9%
 
0.011831.4%
 
0.01431.4%
 
0.010431.4%
 
0.013731.4%
 
0.014621.0%
 
0.007621.0%
 
0.013521.0%
 
0.025321.0%
 
0.015121.0%
 
0.005121.0%
 
0.021621.0%
 
0.004521.0%
 
0.018821.0%
 
0.003321.0%
 
0.008921.0%
 
0.009121.0%
 
0.012821.0%
 
0.008621.0%
 
0.013321.0%
 
0.007921.0%
 
0.012221.0%
 
0.018521.0%
 
0.022321.0%
 
Other values (135)15072.1%
 
ValueCountFrequency (%) 
010.5%
 
0.000910.5%
 
0.001510.5%
 
0.001810.5%
 
0.001910.5%
 
0.002210.5%
 
0.002310.5%
 
0.002421.0%
 
0.002510.5%
 
0.002610.5%
 
ValueCountFrequency (%) 
0.100410.5%
 
0.079810.5%
 
0.04810.5%
 
0.045610.5%
 
0.042610.5%
 
0.039610.5%
 
0.03810.5%
 
0.036710.5%
 
0.036110.5%
 
0.03610.5%
 

A32
Real number (ℝ≥0)

Distinct count205
Unique (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4390403846153846
Minimum0.0404
Maximum0.9306
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:54.115723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0404
5-th percentile0.11759
Q10.2814
median0.4296
Q30.5803
95-th percentile0.81614
Maximum0.9306
Range0.8902
Interquartile range (IQR)0.2989

Descriptive statistics

Standard deviation0.2132369078
Coefficient of variation (CV)0.4856885955
Kurtosis-0.6642651393
Mean0.4390403846
Median Absolute Deviation (MAD)0.149
Skewness0.3134197889
Sum91.3204
Variance0.04546997884
2020-08-25T01:53:54.214420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.463921.0%
 
0.506921.0%
 
0.289721.0%
 
0.477810.5%
 
0.062410.5%
 
0.262810.5%
 
0.10210.5%
 
0.312910.5%
 
0.700910.5%
 
0.374110.5%
 
0.329610.5%
 
0.930610.5%
 
0.68910.5%
 
0.366610.5%
 
0.72510.5%
 
0.295910.5%
 
0.724110.5%
 
0.7610.5%
 
0.040410.5%
 
0.339710.5%
 
0.711710.5%
 
0.097810.5%
 
0.504910.5%
 
0.393910.5%
 
0.910810.5%
 
Other values (180)18086.5%
 
ValueCountFrequency (%) 
0.040410.5%
 
0.058710.5%
 
0.062410.5%
 
0.077310.5%
 
0.087710.5%
 
0.097810.5%
 
0.099410.5%
 
0.10210.5%
 
0.103210.5%
 
0.116210.5%
 
ValueCountFrequency (%) 
0.930610.5%
 
0.916810.5%
 
0.910810.5%
 
0.89410.5%
 
0.890310.5%
 
0.883510.5%
 
0.854910.5%
 
0.852210.5%
 
0.847810.5%
 
0.84210.5%
 

A4
Real number (ℝ≥0)

Distinct count181
Unique (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05389230769230769
Minimum0.0058
Maximum0.4264
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:54.333428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0058
5-th percentile0.00827
Q10.024375
median0.04405
Q30.0645
95-th percentile0.13597
Maximum0.4264
Range0.4206
Interquartile range (IQR)0.040125

Descriptive statistics

Standard deviation0.04652796404
Coefficient of variation (CV)0.8633507459
Kurtosis20.73612072
Mean0.05389230769
Median Absolute Deviation (MAD)0.0197
Skewness3.401697437
Sum11.2096
Variance0.002164851438
2020-08-25T01:53:54.433822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.060831.4%
 
0.010831.4%
 
0.044521.0%
 
0.007621.0%
 
0.056921.0%
 
0.048921.0%
 
0.014121.0%
 
0.062721.0%
 
0.038621.0%
 
0.081821.0%
 
0.102121.0%
 
0.039421.0%
 
0.006221.0%
 
0.02521.0%
 
0.022521.0%
 
0.023921.0%
 
0.006121.0%
 
0.037521.0%
 
0.025721.0%
 
0.027221.0%
 
0.023221.0%
 
0.049421.0%
 
0.045621.0%
 
0.04521.0%
 
0.038721.0%
 
Other values (156)15675.0%
 
ValueCountFrequency (%) 
0.005810.5%
 
0.006121.0%
 
0.006221.0%
 
0.006410.5%
 
0.00710.5%
 
0.007621.0%
 
0.007810.5%
 
0.008210.5%
 
0.008410.5%
 
0.009710.5%
 
ValueCountFrequency (%) 
0.426410.5%
 
0.260410.5%
 
0.173210.5%
 
0.16610.5%
 
0.164410.5%
 
0.149810.5%
 
0.149710.5%
 
0.149610.5%
 
0.148410.5%
 
0.142110.5%
 

A53
Real number (ℝ≥0)

Distinct count134
Unique (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010709134615384615
Minimum0.0005
Maximum0.039
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:54.542599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005
5-th percentile0.0023
Q10.005075
median0.00955
Q30.0149
95-th percentile0.024025
Maximum0.039
Range0.0385
Interquartile range (IQR)0.009825

Descriptive statistics

Standard deviation0.007060337829
Coefficient of variation (CV)0.6592818265
Kurtosis1.248923362
Mean0.01070913462
Median Absolute Deviation (MAD)0.00475
Skewness1.060572283
Sum2.2275
Variance4.984837026e-05
2020-08-25T01:53:54.656486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.012952.4%
 
0.010341.9%
 
0.007141.9%
 
0.01241.9%
 
0.012731.4%
 
0.004831.4%
 
0.006231.4%
 
0.004531.4%
 
0.017531.4%
 
0.003631.4%
 
0.003231.4%
 
0.002331.4%
 
0.005721.0%
 
0.019721.0%
 
0.010421.0%
 
0.014921.0%
 
0.019121.0%
 
0.015221.0%
 
0.002821.0%
 
0.002921.0%
 
0.005521.0%
 
0.01921.0%
 
0.003821.0%
 
0.014321.0%
 
0.003521.0%
 
Other values (109)14167.8%
 
ValueCountFrequency (%) 
0.000510.5%
 
0.00110.5%
 
0.001421.0%
 
0.001510.5%
 
0.001610.5%
 
0.001921.0%
 
0.002210.5%
 
0.002331.4%
 
0.002410.5%
 
0.002521.0%
 
ValueCountFrequency (%) 
0.03910.5%
 
0.036110.5%
 
0.031710.5%
 
0.027710.5%
 
0.027410.5%
 
0.026510.5%
 
0.026221.0%
 
0.025510.5%
 
0.024810.5%
 
0.024210.5%
 

A18
Real number (ℝ≥0)

Distinct count204
Unique (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45231826923076923
Minimum0.0375
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:54.779675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0375
5-th percentile0.133245
Q10.242075
median0.3683
Q30.67905
95-th percentile0.91808
Maximum1
Range0.9625
Interquartile range (IQR)0.436975

Descriptive statistics

Standard deviation0.2615293323
Coefficient of variation (CV)0.578197588
Kurtosis-1.045140961
Mean0.4523182692
Median Absolute Deviation (MAD)0.18115
Skewness0.5258451141
Sum94.0822
Variance0.06839759165
2020-08-25T01:53:54.882046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
131.4%
 
0.242921.0%
 
0.188421.0%
 
0.387510.5%
 
0.192910.5%
 
0.381710.5%
 
0.174810.5%
 
0.313410.5%
 
0.800610.5%
 
0.185910.5%
 
0.464610.5%
 
0.945810.5%
 
0.128510.5%
 
0.037510.5%
 
0.918510.5%
 
0.317510.5%
 
0.334510.5%
 
0.212710.5%
 
0.224810.5%
 
0.176510.5%
 
0.137410.5%
 
0.358610.5%
 
0.902510.5%
 
0.267910.5%
 
0.672810.5%
 
Other values (179)17986.1%
 
ValueCountFrequency (%) 
0.037510.5%
 
0.068910.5%
 
0.083710.5%
 
0.084910.5%
 
0.093910.5%
 
0.110510.5%
 
0.119910.5%
 
0.120510.5%
 
0.128510.5%
 
0.129910.5%
 
ValueCountFrequency (%) 
131.4%
 
0.982610.5%
 
0.945810.5%
 
0.933510.5%
 
0.929310.5%
 
0.927810.5%
 
0.92610.5%
 
0.920810.5%
 
0.918510.5%
 
0.917310.5%
 

A9
Real number (ℝ≥0)

Distinct count205
Unique (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1780028846153846
Minimum0.0075
Maximum0.6828
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:54.989491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0075
5-th percentile0.04681
Q10.097025
median0.15225
Q30.233425
95-th percentile0.374775
Maximum0.6828
Range0.6753
Interquartile range (IQR)0.1364

Descriptive statistics

Standard deviation0.1183871916
Coefficient of variation (CV)0.665085804
Kurtosis3.592943012
Mean0.1780028846
Median Absolute Deviation (MAD)0.0594
Skewness1.633869913
Sum37.0246
Variance0.01401552714
2020-08-25T01:53:55.104153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.059821.0%
 
0.07421.0%
 
0.210521.0%
 
0.194510.5%
 
0.07510.5%
 
0.307410.5%
 
0.192910.5%
 
0.159610.5%
 
0.254610.5%
 
0.048710.5%
 
0.236110.5%
 
0.032310.5%
 
0.122910.5%
 
0.062410.5%
 
0.317510.5%
 
0.10310.5%
 
0.177710.5%
 
0.229110.5%
 
0.047210.5%
 
0.093110.5%
 
0.13510.5%
 
0.048910.5%
 
0.105410.5%
 
0.007510.5%
 
0.298410.5%
 
Other values (180)18086.5%
 
ValueCountFrequency (%) 
0.007510.5%
 
0.011710.5%
 
0.015510.5%
 
0.025810.5%
 
0.029810.5%
 
0.032310.5%
 
0.036810.5%
 
0.038110.5%
 
0.042510.5%
 
0.045310.5%
 
ValueCountFrequency (%) 
0.682810.5%
 
0.658710.5%
 
0.574410.5%
 
0.566410.5%
 
0.559810.5%
 
0.552610.5%
 
0.527610.5%
 
0.498310.5%
 
0.434610.5%
 
0.388710.5%
 

A7
Real number (ℝ≥0)

Distinct count195
Unique (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12174663461538461
Minimum0.0033
Maximum0.3729
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:55.224147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.0033
5-th percentile0.03775
Q10.0809
median0.10695
Q30.154
95-th percentile0.228965
Maximum0.3729
Range0.3696
Interquartile range (IQR)0.0731

Descriptive statistics

Standard deviation0.06178789016
Coefficient of variation (CV)0.5075120996
Kurtosis1.46141029
Mean0.1217466346
Median Absolute Deviation (MAD)0.0359
Skewness0.9708203075
Sum25.3233
Variance0.00381774337
2020-08-25T01:53:55.330792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.077131.4%
 
0.09721.0%
 
0.134921.0%
 
0.194821.0%
 
0.167421.0%
 
0.148721.0%
 
0.099321.0%
 
0.105621.0%
 
0.100421.0%
 
0.115421.0%
 
0.120121.0%
 
0.101521.0%
 
0.065510.5%
 
0.113910.5%
 
0.065910.5%
 
0.089710.5%
 
0.056910.5%
 
0.129910.5%
 
0.088410.5%
 
0.074210.5%
 
0.066210.5%
 
0.102410.5%
 
0.057610.5%
 
0.139210.5%
 
0.088910.5%
 
Other values (170)17081.7%
 
ValueCountFrequency (%) 
0.003310.5%
 
0.01310.5%
 
0.014510.5%
 
0.018210.5%
 
0.022310.5%
 
0.027910.5%
 
0.031410.5%
 
0.034110.5%
 
0.036110.5%
 
0.036210.5%
 
ValueCountFrequency (%) 
0.372910.5%
 
0.332210.5%
 
0.301610.5%
 
0.300810.5%
 
0.294710.5%
 
0.255510.5%
 
0.249510.5%
 
0.243110.5%
 
0.241710.5%
 
0.236310.5%
 

A41
Real number (ℝ≥0)

Distinct count204
Unique (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2892519230769231
Minimum0.036000000000000004
Maximum0.8995
Zeros0
Zeros (%)0.0%
Memory size1.8 KiB
2020-08-25T01:53:55.447229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.036
5-th percentile0.06291
Q10.1631
median0.2595
Q30.387525
95-th percentile0.607465
Maximum0.8995
Range0.8635
Interquartile range (IQR)0.224425

Descriptive statistics

Standard deviation0.1711110999
Coefficient of variation (CV)0.5915642601
Kurtosis0.451796109
Mean0.2892519231
Median Absolute Deviation (MAD)0.1072
Skewness0.8635260725
Sum60.1644
Variance0.0292790085
2020-08-25T01:53:55.538075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.167421.0%
 
0.224121.0%
 
0.167921.0%
 
0.305121.0%
 
0.332110.5%
 
0.05110.5%
 
0.584110.5%
 
0.374110.5%
 
0.250910.5%
 
0.454610.5%
 
0.277810.5%
 
0.064610.5%
 
0.406910.5%
 
0.52510.5%
 
0.257510.5%
 
0.510210.5%
 
0.464710.5%
 
0.119510.5%
 
0.345410.5%
 
0.372410.5%
 
0.331810.5%
 
0.243810.5%
 
0.455410.5%
 
0.225810.5%
 
0.298410.5%
 
Other values (179)17986.1%
 
ValueCountFrequency (%) 
0.03610.5%
 
0.038610.5%
 
0.043810.5%
 
0.048810.5%
 
0.049210.5%
 
0.05110.5%
 
0.054110.5%
 
0.057210.5%
 
0.057610.5%
 
0.060110.5%
 
ValueCountFrequency (%) 
0.899510.5%
 
0.775110.5%
 
0.766410.5%
 
0.732210.5%
 
0.719610.5%
 
0.693510.5%
 
0.680310.5%
 
0.650810.5%
 
0.620210.5%
 
0.612110.5%
 

target
Boolean

Distinct count2
Unique (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
111
1
97
ValueCountFrequency (%) 
011153.4%
 
19746.6%
 

Interactions

2020-08-25T01:53:03.927490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:04.252983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:53:49.253785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:53:49.900742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:50.025749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:50.136137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:50.257221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:50.373154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:53:55.727367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:53:56.041995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:53:56.516572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:53:56.842916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:53:50.623441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:53:51.079881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

A1A6A37A46A14A55A34A49A13A58A47A51A32A4A53A18A9A7A41target
00.03350.10910.07020.20120.19650.00620.11400.05010.31160.00220.16880.01300.24640.05700.00390.39690.18650.17090.08730
10.01340.07440.88000.25250.14720.00160.60360.02860.25230.00240.10840.00460.29510.03630.00480.32820.03680.08000.26420
20.01160.05450.06930.16510.23070.00340.24130.03210.26570.00440.11810.02020.32420.02250.01030.37150.17080.11100.04380
30.02610.15130.13020.03070.34950.00220.20660.03990.35100.00210.03730.01350.28600.07490.01750.68760.18640.13160.21440
40.02690.21030.18690.09200.33340.00810.29110.10850.51750.00270.12270.03460.27750.07070.01990.34240.35950.22630.11810
50.06350.12600.46490.14230.43430.00720.28630.03110.55060.00850.03900.01540.36900.03330.00250.38750.33620.10150.12200
60.10880.17310.84200.43050.29040.01240.62530.02740.10230.02050.09450.01400.54430.12340.02130.08490.68280.19480.37240
70.10830.11250.93860.30970.26890.02760.87030.03340.24020.01220.15780.01720.43030.08370.01100.08370.55260.33220.20870
80.04430.26110.25620.14830.78420.01850.11240.05130.61730.01150.04340.02480.13620.10080.02050.89110.18010.20610.11030
90.02170.05260.14510.17900.16890.00260.42550.07690.16450.00220.16890.02050.57490.03460.00670.37090.14510.07730.44670

Last rows

A1A6A37A46A14A55A34A49A13A58A47A51A32A4A53A18A9A7A41target
1980.02350.11210.80840.24040.18060.00580.59860.09330.25100.00520.11280.02140.79120.05160.01520.38870.30740.12580.44330
1990.01230.01020.39940.08610.25570.00740.26410.01340.20260.00920.08720.01880.25760.03130.02650.28490.11220.01820.17821
2000.01090.08630.21490.00250.34040.00530.21120.01820.15460.00560.03270.01240.29590.03780.00230.78270.09410.10040.04881
2010.03650.13060.70760.17040.53970.01640.04010.10220.26790.00940.15870.02230.07730.14210.00710.68880.29920.21120.39661
2020.00360.11970.07950.09650.15420.00360.22270.03360.15990.00490.03810.00790.20540.03870.00550.17480.12390.12430.26191
2030.00840.07520.13880.09560.08140.01170.16930.01060.16830.00310.04260.00560.38650.04320.01140.77760.06920.04140.11741
2040.01230.04920.12790.05800.19430.00380.52550.02720.11920.00580.03190.01490.51810.02060.01340.16300.07910.00330.13061
2050.01190.18830.50250.13430.21130.01230.56210.03040.26650.00730.08380.00690.51410.06000.01030.41420.04870.14220.34221
2060.02250.09060.47860.02970.16410.00440.59670.01190.06180.00350.02410.00510.60710.00970.01290.26790.16240.08890.18361
2070.01000.03680.54080.36540.22610.00850.34970.06810.01840.00440.26550.02410.73400.02050.00360.22810.05980.10980.61211